Asset & Wealth Management-Full Stack Engineer-Associate-Dallas

Full Stack Engineer — Portfolio Management Technology

About The Role

We are looking for a Full Stack Engineer to join our Portfolio Management Technology team. You will build and maintain mission-critical systems that power financial advisory workflows, real-time portfolio management, and event-driven data pipelines. The role is backend-heavy — you'll spend the majority of your time building Java services using MongoDB — but you'll also contribute to Angular front-end applications when needed. You should also be proficient in understanding and evaluating AI-assisted model development workflows (GitHub Copilot, Claude Code, Codex) including the creation and use of agentic skills, and have a foundational understanding of generative AI engineering concepts such as vector stores and Retrieval-Augmented Generation (RAG) for potential future use cases.

What You'll Do

• Design, develop, and maintain Java 11+ services using Gradle, Guice and Spring Boot across a large-scale codebase
• Build and extend event-driven pipeline services (positions, cash management, asset allocation, alerts, workflows)
• Work with MongoDB extensively — schema design, query optimization, and data modelling
• Contribute to real-time data infrastructure including WebSocket-based systems (RxJava, Jetty, Jersey)
• Pick up Angular front-end tasks as needed — feature work, bug fixes, and integration with backend APIs using AG-Grid, NgRx, and RxJS
• Write and maintain comprehensive unit and integration tests (JUnit, Mockito, Jest) targeting high code coverage thresholds
• Participate in CI/CD pipeline maintenance using GitLab CI, Conduit, and Gradle-based build tooling
• Collaborate on deployment and infrastructure-as-code for Kubernetes-hosted services

• Object-Oriented Programming — Strong understanding of OOP principles (encapsulation, inheritance, polymorphism, abstraction) with the ability to design clean, maintainable class hierarchies and apply SOLID principles in

• Microservices Architecture — Deep understanding of microservices design patterns including service decomposition, inter-service communication, fault tolerance, and independent deployability
• Technical Architecture — Strong grasp of the technical architecture of modern web applications and web technologies, including RESTful API design (Jersey/JAX-RS), WebSocket-based real-time communication, HTTP lifecycle, client-server patterns, and scalable distributed systems
• Agile Methodologies — Experience working in Agile/Scrum development environments including sprint planning, standups, retrospectives, backlog grooming, and iterative delivery cycles
• Generative AI Engineering — Proficiency in AI-assisted development workflows (GitHub Copilot, Claude Code) including the creation and use of Skills, with a foundational understanding of generative AI concepts such as vector stores and Retrieval-Augmented Generation (RAG) for potential future use cases

Required (3–5 years of experience across the following):

• Java 11+ — strong proficiency with Spring Boot, REST APIs (Jersey/JAX-RS), and dependency injection (Guice or Spring)
• MongoDB — hands-on experience with document modeling, aggregation pipelines, and an ODM framework
• Event-driven systems — familiarity with event buses, message-driven processing, pub/sub patterns or reactive programming experience
• RESTful & WebSocket APIs — designing, building, and consuming REST endpoints and real-time WebSocket channels
• Testing discipline — unit testing (JUnit, Mockito), code coverage tooling (JaCoCo), and integration testing
• Git & CI/CD — comfortable with GitLab workflows, automated builds, and deployment pipelines

• Angular — ability to read, debug, and contribute to TypeScript/Angular front-end codebases (NX monorepo experience a plus)
• Kubernetes & Docker — container-based deployment and orchestration
• Node.js / TypeScript — for CLI tooling, developer experience projects, or VS Code extension development
• Financial services domain knowledge — portfolio management, trading, or wealth management technology
• Monitoring & observability — Micrometer, Prometheus, SonarQube, or similar tools

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.